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machine learning and with strong programming skills, and with an interest in working in close collaboration with industry. Working environment: The project will be done in an interdisciplinary team
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studentship affiliation The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with
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machine learning and with strong programming skills, and with an interest in working in close collaboration with industry. Working environment: The project will be done in an interdisciplinary team
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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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responsibilities of the candidate: Developing innovative approaches: You will be responsible for developing machine learning and algorithms to manage and analyze next-generation sequencing data to understand its
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Associate Professor Mehrdad Rakaee. Key responsibilities of the candidate: Developing innovative approaches: You will be responsible for developing machine learning and algorithms to manage and analyze next
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included in the application. The perfect candidate has a strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
machine learning techniques for making risk-informed decisions for Arctic offshore operation”. The PhD Candidate will have also close collaboration with the Laboratory of Signal and Risk Analysis (LASAR
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
The position A PhD position is available at the Department of Technology and Safety , Faculty of Science and Technology in “Leveraging ship AIS data using machine learning techniques for making risk-informed